Here are SQL interview questions:
Basic SQL Questions
1. What is SQL, and what is its purpose?
2. Write a SQL query to retrieve all records from a table.
3. How do you select specific columns from a table?
4. What is the difference between WHERE and HAVING clauses?
5. How do you sort data in ascending/descending order?
SQL Query Questions
1. Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2. How do you join two tables based on a common column?
3. Write a SQL query to retrieve data from multiple tables using subqueries.
4. How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5. Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1. How do you optimize SQL query performance?
2. What is indexing, and how does it improve query performance?
3. How do you avoid full table scans?
4. What is query caching, and how does it work?
5. How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1. Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2. Write a SQL query to retrieve data from two tables using a subquery.
3. How do you use EXISTS and IN operators in SQL?
4. Write a SQL query to retrieve data from multiple tables using a self-join.
5. Explain the concept of correlated subqueries.
SQL Data Modeling
1. Explain the concept of normalization and denormalization.
2. How do you design a database schema for a given application?
3. What is data redundancy, and how do you avoid it?
4. Explain the concept of primary and foreign keys.
5. How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1. Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2. Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3. How do you use dynamic SQL?
4. Explain the concept of stored procedures and functions.
5. Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1. You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2. You have a table with duplicate records. Write a SQL query to remove duplicates.
3. You have a table with missing values. Write a SQL query to replace missing values with a default value.
4. You have a table with data in an incorrect format. Write a SQL query to correct the format.
5. You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1. Can you explain a time when you optimized a slow-running SQL query?
2. How do you handle database errors and exceptions?
3. Can you describe a complex SQL query you wrote and why?
4. How do you stay up-to-date with new SQL features and best practices?
5. Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL 👇
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
Basic SQL Questions
1. What is SQL, and what is its purpose?
2. Write a SQL query to retrieve all records from a table.
3. How do you select specific columns from a table?
4. What is the difference between WHERE and HAVING clauses?
5. How do you sort data in ascending/descending order?
SQL Query Questions
1. Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2. How do you join two tables based on a common column?
3. Write a SQL query to retrieve data from multiple tables using subqueries.
4. How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5. Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1. How do you optimize SQL query performance?
2. What is indexing, and how does it improve query performance?
3. How do you avoid full table scans?
4. What is query caching, and how does it work?
5. How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1. Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2. Write a SQL query to retrieve data from two tables using a subquery.
3. How do you use EXISTS and IN operators in SQL?
4. Write a SQL query to retrieve data from multiple tables using a self-join.
5. Explain the concept of correlated subqueries.
SQL Data Modeling
1. Explain the concept of normalization and denormalization.
2. How do you design a database schema for a given application?
3. What is data redundancy, and how do you avoid it?
4. Explain the concept of primary and foreign keys.
5. How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1. Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2. Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3. How do you use dynamic SQL?
4. Explain the concept of stored procedures and functions.
5. Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1. You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2. You have a table with duplicate records. Write a SQL query to remove duplicates.
3. You have a table with missing values. Write a SQL query to replace missing values with a default value.
4. You have a table with data in an incorrect format. Write a SQL query to correct the format.
5. You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1. Can you explain a time when you optimized a slow-running SQL query?
2. How do you handle database errors and exceptions?
3. Can you describe a complex SQL query you wrote and why?
4. How do you stay up-to-date with new SQL features and best practices?
5. Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL 👇
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
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Transform your skills with these cutting-edge courses by NVIDIA.
Check out the following NVIDIA FREE AI Certification Courses
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Enroll For FREE & Get Certified 🎓
𝟱 𝗦𝗤𝗟 𝗠𝘆𝘁𝗵𝘀 𝗗𝗲𝗯𝘂𝗻𝗸𝗲𝗱 ❌ 𝗪𝗵𝗮𝘁 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 𝗢𝗳𝘁𝗲𝗻 𝗚𝗲𝘁 𝗪𝗿𝗼𝗻𝗴
SQL is super powerful, but some myths around it can trip up beginners. Let’s clear up five common misunderstandings and set the record straight:
𝗠𝘆𝘁𝗵 𝟭: 𝗦𝗤𝗟 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗳𝗼𝗿 𝗽𝘂𝗹𝗹𝗶𝗻𝗴 𝗱𝗮𝘁𝗮.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: Nope, it’s not just for that! SQL can also create, modify, and manage databases, control access, and maintain data consistency.
✦ 𝗙𝗶𝘅 𝗶𝘁: Explore all the features of SQL, like DDL (for database design), DCL (for access control), and TCL (for transactions). It's more than just SELECT!
𝗠𝘆𝘁𝗵 𝟮: 𝗨𝘀𝗶𝗻𝗴 𝗦𝗘𝗟𝗘𝗖𝗧 * 𝗶𝘀 𝗳𝗶𝗻𝗲.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: It might be easy, but it’s not efficient. Pulling all columns wastes memory and slows down performance.
✦ 𝗙𝗶𝘅 𝗶𝘁: Only select the columns you actually need. It’s faster and cleaner.
Not great - SELECT * FROM employees;
Better - SELECT employee_id, name, department FROM employees;
𝗠𝘆𝘁𝗵 𝟯: 𝗦𝗤𝗟 𝗰𝗮𝗻'𝘁 𝗵𝗮𝗻𝗱𝗹𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: SQL can do way more than basic queries! With concepts like window functions and CTEs, you can handle really complex data analysis.
✦ 𝗙𝗶𝘅 𝗶𝘁: Learn advanced SQL features like window functions (ROW_NUMBER(), RANK()) and CTEs to up your game.
Example - Ranking employees by salary within their department
WITH ranked_salaries AS (SELECT employee_id, salary, department,
ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank FROM employees)
SELECT * FROM ranked_salaries WHERE rank = 1;
𝗠𝘆𝘁𝗵 𝟰: 𝗦𝗹𝗼𝘄 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝗮𝗿𝗲 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲’𝘀 𝗳𝗮𝘂𝗹𝘁.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: It’s usually inefficient queries causing the slowdown. Things like missing indexes or unoptimized code can be the culprit.
✦ 𝗙𝗶𝘅 𝗶𝘁: Use indexes properly, avoid complex calculations in WHERE clauses, and check your query execution plan to spot bottlenecks.
𝗠𝘆𝘁𝗵 𝟱: 𝗦𝗤𝗟 𝗶𝘀 𝗼𝘂𝘁𝗱𝗮𝘁𝗲𝗱 𝗮𝗻𝗱 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗱 𝘀𝗼𝗼𝗻.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: SQL is here to stay! Despite the rise of NoSQL, SQL remains the backbone for structured data.
✦ 𝗙𝗶𝘅 𝗶𝘁: Stay current and explore how SQL integrates with big data platforms and cloud databases. It’s more relevant than ever.
Don’t let these myths hold you back. SQL is powerful, and when you understand it fully, you can do amazing things with your data.
SQL Relational Database Free Course Here: https://tinyurl.com/42nau8jx
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
SQL is super powerful, but some myths around it can trip up beginners. Let’s clear up five common misunderstandings and set the record straight:
𝗠𝘆𝘁𝗵 𝟭: 𝗦𝗤𝗟 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗳𝗼𝗿 𝗽𝘂𝗹𝗹𝗶𝗻𝗴 𝗱𝗮𝘁𝗮.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: Nope, it’s not just for that! SQL can also create, modify, and manage databases, control access, and maintain data consistency.
✦ 𝗙𝗶𝘅 𝗶𝘁: Explore all the features of SQL, like DDL (for database design), DCL (for access control), and TCL (for transactions). It's more than just SELECT!
𝗠𝘆𝘁𝗵 𝟮: 𝗨𝘀𝗶𝗻𝗴 𝗦𝗘𝗟𝗘𝗖𝗧 * 𝗶𝘀 𝗳𝗶𝗻𝗲.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: It might be easy, but it’s not efficient. Pulling all columns wastes memory and slows down performance.
✦ 𝗙𝗶𝘅 𝗶𝘁: Only select the columns you actually need. It’s faster and cleaner.
Not great - SELECT * FROM employees;
Better - SELECT employee_id, name, department FROM employees;
𝗠𝘆𝘁𝗵 𝟯: 𝗦𝗤𝗟 𝗰𝗮𝗻'𝘁 𝗵𝗮𝗻𝗱𝗹𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: SQL can do way more than basic queries! With concepts like window functions and CTEs, you can handle really complex data analysis.
✦ 𝗙𝗶𝘅 𝗶𝘁: Learn advanced SQL features like window functions (ROW_NUMBER(), RANK()) and CTEs to up your game.
Example - Ranking employees by salary within their department
WITH ranked_salaries AS (SELECT employee_id, salary, department,
ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank FROM employees)
SELECT * FROM ranked_salaries WHERE rank = 1;
𝗠𝘆𝘁𝗵 𝟰: 𝗦𝗹𝗼𝘄 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝗮𝗿𝗲 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲’𝘀 𝗳𝗮𝘂𝗹𝘁.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: It’s usually inefficient queries causing the slowdown. Things like missing indexes or unoptimized code can be the culprit.
✦ 𝗙𝗶𝘅 𝗶𝘁: Use indexes properly, avoid complex calculations in WHERE clauses, and check your query execution plan to spot bottlenecks.
𝗠𝘆𝘁𝗵 𝟱: 𝗦𝗤𝗟 𝗶𝘀 𝗼𝘂𝘁𝗱𝗮𝘁𝗲𝗱 𝗮𝗻𝗱 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗱 𝘀𝗼𝗼𝗻.
✦ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: SQL is here to stay! Despite the rise of NoSQL, SQL remains the backbone for structured data.
✦ 𝗙𝗶𝘅 𝗶𝘁: Stay current and explore how SQL integrates with big data platforms and cloud databases. It’s more relevant than ever.
Don’t let these myths hold you back. SQL is powerful, and when you understand it fully, you can do amazing things with your data.
SQL Relational Database Free Course Here: https://tinyurl.com/42nau8jx
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
❤1🔥1
𝗧𝗖𝗦 𝗶𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗮 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗶𝗻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
Want to know how top companies handle massive amounts of data without losing track? 📊
TCS is offering a FREE beginner-friendly course on Master Data Management, and yes—it comes with a certificate! 🎓
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Just click and start learning!✅
Want to know how top companies handle massive amounts of data without losing track? 📊
TCS is offering a FREE beginner-friendly course on Master Data Management, and yes—it comes with a certificate! 🎓
𝐋𝐢𝐧𝐤👇:-
https://tinyurl.com/4a3vr5w7
Just click and start learning!✅
Learn a skill. That’s all I want to say. With more and more people losing their jobs in this economy, I cannot stress the importance of learning a skill and providing services based on the skill.
Free Learning Resources Here: t.me/techpsyche
Free Learning Resources Here: t.me/techpsyche
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Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in.
These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more
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Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in.
These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more
𝗟𝗶𝗻𝗸:-👇
https://techurl.in/ONevC
𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍
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🎯 Learn. Get Certified. Shine Bright!🎓✨
- Artificial Intelligence (AI)
- Internet Of Things (IoT)
- Machine Learning (ML)
- Data Science
🌟 Globally Recognized Certification
🌟 100% FREE – No Hidden Costs!
🌟 Boost Your Resume & Career
𝐄𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-
https://bit.ly/3DBGkzk
🎯 Learn. Get Certified. Shine Bright!🎓✨
𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗦𝗤𝗟 𝗹𝗲𝘀𝘀𝗼𝗻 𝘆𝗼𝘂’𝗹𝗹 𝗿𝗲𝗰𝗲𝗶𝘃𝗲 𝘁𝗼𝗱𝗮𝘆:
Master the core SQL statements—they are the building blocks of every powerful query you'll write.
-> SELECT retrieves data efficiently and accurately. Remember, clarity starts with understanding the result set you need.
-> WHERE filters data to show only the insights that matter. Precision is key.
-> CREATE, INSERT, UPDATE, DELETE allow you to mold your database like an artist—design it, fill it, improve it, or even clean it up.
In a world where everyone wants to take, give knowledge back.
Become an alchemist of your life. Learn, share, and build solutions.
Always follow best practices in SQL to avoid mistakes like missing WHERE in an UPDATE or DELETE. These oversights can cause chaos!
Without WHERE, you risk updating or deleting entire datasets unintentionally. That's a costly mistake.
But with proper syntax and habits, your databases will be secure, efficient, and insightful.
SQL is not just a skill—it's a mindset of precision, logic, and innovation.
Here you can find essential SQL Interview Resources👇
Most Important SQL Topics: https://t.me/sqlresourcestp/34
SQL Challenges: https://t.me/sqlresourcestp/28
Like this post if you need more 👍❤️
Hope it helps :)
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Master the core SQL statements—they are the building blocks of every powerful query you'll write.
-> SELECT retrieves data efficiently and accurately. Remember, clarity starts with understanding the result set you need.
-> WHERE filters data to show only the insights that matter. Precision is key.
-> CREATE, INSERT, UPDATE, DELETE allow you to mold your database like an artist—design it, fill it, improve it, or even clean it up.
In a world where everyone wants to take, give knowledge back.
Become an alchemist of your life. Learn, share, and build solutions.
Always follow best practices in SQL to avoid mistakes like missing WHERE in an UPDATE or DELETE. These oversights can cause chaos!
Without WHERE, you risk updating or deleting entire datasets unintentionally. That's a costly mistake.
But with proper syntax and habits, your databases will be secure, efficient, and insightful.
SQL is not just a skill—it's a mindset of precision, logic, and innovation.
Here you can find essential SQL Interview Resources👇
Most Important SQL Topics: https://t.me/sqlresourcestp/34
SQL Challenges: https://t.me/sqlresourcestp/28
Like this post if you need more 👍❤️
Hope it helps :)
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
❤1
𝐀𝐫𝐞 𝐲𝐨𝐮 𝐩𝐫𝐞𝐩𝐚𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐒𝐐𝐋 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬? 😍
Don’t miss these top SQL questions recently asked by leading companies!
Top 45 SQL Interview Questions & Answers
𝐋𝐢𝐧𝐤👉:- https://bit.ly/4iH0Z3K
Start practicing today and stand out from the competition! 💻
Don’t miss these top SQL questions recently asked by leading companies!
Top 45 SQL Interview Questions & Answers
𝐋𝐢𝐧𝐤👉:- https://bit.ly/4iH0Z3K
Start practicing today and stand out from the competition! 💻
MVP — what is it and what does it do
Minimum Viable Product, MVP, - in our world, it is an application that has the minimum functionality, capable of covering the user's needs.
Development is expensive: a team of programmers has to build a digital solution to an idea, with a nice interface and without bugs. But businesses (often) don't have the money to pay long development fees first. There is only an idea.
To test the idea, they create an MVP. They choose key features, weed out the unnecessary ones, make a list of "would-be-do-it-if-we-have-time" features, make a plan, and decide: will this functionality be enough to test our idea? If the answer is yes, people will use the app even without the secondary functionality - then it's ok, we can keep sawing.
But in MVP applications we need to cut off not only the functionality.
There is also refactoring, for example. At some moment you will want to return to the old code and clean it up a bit. Make it more readable, standardize it. If this refactoring doesn't bring notable relief to the developers, you need to postpone it until after the release. Or tests. They are necessary and important, but not for MVP (debatable, I agree, it depends on the project). In my experience, MVP application code testing was increasing development time by 25-40%, not giving the desired output. We were wasting time covering tests that didn't help us much, delaying development.
All of this can and should be turned a blind eye if we're doing MVPs. The business doesn't care how this button is created, whether it's a method widget or just an object widget. For it the main thing is that there is a button, and it at least works. And it doesn't slow us down. Hence, we don't need to work on it at the moment.
Ideally, of course, the team should meet together at the beginning of the project and agree on what they do and don't do. You can write manuals and recommendations. Or we could say: guys, we've got some crap in our code here, let's not do this anymore. The point is, our job is to get it up and running as quickly as possible. After all, the application could be so useless that we won't continue development at all. So why do we need code that is 100% covered by tests and doesn't contain a single anti-pattern if we're not going to work on it?
Yes, we'll have to roll out an application with shitty code. But if this code solves a business problem and is able to attract the first money, it's not such a shitty code. After all, it solved the main problem. To get it up and running. From there we look at user feedback, fix what we need, and try to get some time for refactoring.
Follow: t.me/techpsyche
Minimum Viable Product, MVP, - in our world, it is an application that has the minimum functionality, capable of covering the user's needs.
Development is expensive: a team of programmers has to build a digital solution to an idea, with a nice interface and without bugs. But businesses (often) don't have the money to pay long development fees first. There is only an idea.
To test the idea, they create an MVP. They choose key features, weed out the unnecessary ones, make a list of "would-be-do-it-if-we-have-time" features, make a plan, and decide: will this functionality be enough to test our idea? If the answer is yes, people will use the app even without the secondary functionality - then it's ok, we can keep sawing.
But in MVP applications we need to cut off not only the functionality.
There is also refactoring, for example. At some moment you will want to return to the old code and clean it up a bit. Make it more readable, standardize it. If this refactoring doesn't bring notable relief to the developers, you need to postpone it until after the release. Or tests. They are necessary and important, but not for MVP (debatable, I agree, it depends on the project). In my experience, MVP application code testing was increasing development time by 25-40%, not giving the desired output. We were wasting time covering tests that didn't help us much, delaying development.
All of this can and should be turned a blind eye if we're doing MVPs. The business doesn't care how this button is created, whether it's a method widget or just an object widget. For it the main thing is that there is a button, and it at least works. And it doesn't slow us down. Hence, we don't need to work on it at the moment.
Ideally, of course, the team should meet together at the beginning of the project and agree on what they do and don't do. You can write manuals and recommendations. Or we could say: guys, we've got some crap in our code here, let's not do this anymore. The point is, our job is to get it up and running as quickly as possible. After all, the application could be so useless that we won't continue development at all. So why do we need code that is 100% covered by tests and doesn't contain a single anti-pattern if we're not going to work on it?
Yes, we'll have to roll out an application with shitty code. But if this code solves a business problem and is able to attract the first money, it's not such a shitty code. After all, it solved the main problem. To get it up and running. From there we look at user feedback, fix what we need, and try to get some time for refactoring.
Follow: t.me/techpsyche
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Real ExperienceThe Hidden Job Market Where Juniors Actually Get Hired
Hey there,
Let me tell you one real story about Timothy's unorthodox job search strategy.
After months of failed applications on LinkedIn, he tried something different:
He opened Google Maps.
Searched "digital agencies near me."
Found 30 companies within driving distance.
Most people would've hit "Quick Apply" on LinkedIn and called it a day.
But Timothy discovered something interesting:
Only 20% of tech jobs are ever posted online.
The other 80%?
They exist in what I call the "shadow market."
See, in every city, there are dozens of digital agencies and small software companies.
They're constantly growing, constantly building, constantly hiring.
But they NEVER post on job boards.
Why? Because these companies operate differently.
They run on tight margins. They need talented juniors. They can't compete with Google's salaries.
So they hire differently.
Timothy walked into these companies with his resume
Had real conversations with real people.
Showed genuine interest in their work.
The response shocked him:
They were excited to meet a developer who took initiative.
They appreciated the personal approach.
They were actively looking for juniors.
One week later?
Job offer.
While everyone else was fighting over the same LinkedIn positions (you know, the ones with 500+ applicants)...
Timothy found a hidden opportunity. Got real experience. Started his tech career.
Sometimes the best opportunities aren't on job boards. Sometimes you have to look where others aren't looking.
🔆 t.me/techpsyche
5 Free MIT Online Courses to Boost Your Skills in 2025 😍
MIT is known for world-class education—but you don’t need to walk its halls to access its knowledge👨💻📌
Thanks to edX, anyone can enroll in these free MIT-certified courses from anywhere in the world💻🚀
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Let’s explore 5 of the best free courses MIT has to offer✅
MIT is known for world-class education—but you don’t need to walk its halls to access its knowledge👨💻📌
Thanks to edX, anyone can enroll in these free MIT-certified courses from anywhere in the world💻🚀
- Python
- Machine Learning
- Finance
- Biology
𝐋𝐢𝐧𝐤👇:-
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Let’s explore 5 of the best free courses MIT has to offer✅
Remote Senior Backend (Java & PHP) Engineer Job at Chess. com
Chess. com is hiring a remote Senior Backend (Java & PHP) Engineer. This is a full-time position that is 100% remote with no geographical restrictions. Work remotely from anywhere.
Chess. com - The world's largest chess community.
Apply Here:
https://kenyatrends.co.ke/gli4
Global Tech Jobs Here👇
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS🥳🥳
Chess. com is hiring a remote Senior Backend (Java & PHP) Engineer. This is a full-time position that is 100% remote with no geographical restrictions. Work remotely from anywhere.
Chess. com - The world's largest chess community.
Apply Here:
https://kenyatrends.co.ke/gli4
Global Tech Jobs Here👇
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS🥳🥳
Here are SQL interview questions:
Basic SQL Questions
1. What is SQL, and what is its purpose?
2. Write a SQL query to retrieve all records from a table.
3. How do you select specific columns from a table?
4. What is the difference between WHERE and HAVING clauses?
5. How do you sort data in ascending/descending order?
SQL Query Questions
1. Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2. How do you join two tables based on a common column?
3. Write a SQL query to retrieve data from multiple tables using subqueries.
4. How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5. Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1. How do you optimize SQL query performance?
2. What is indexing, and how does it improve query performance?
3. How do you avoid full table scans?
4. What is query caching, and how does it work?
5. How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1. Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2. Write a SQL query to retrieve data from two tables using a subquery.
3. How do you use EXISTS and IN operators in SQL?
4. Write a SQL query to retrieve data from multiple tables using a self-join.
5. Explain the concept of correlated subqueries.
SQL Data Modeling
1. Explain the concept of normalization and denormalization.
2. How do you design a database schema for a given application?
3. What is data redundancy, and how do you avoid it?
4. Explain the concept of primary and foreign keys.
5. How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1. Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2. Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3. How do you use dynamic SQL?
4. Explain the concept of stored procedures and functions.
5. Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1. You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2. You have a table with duplicate records. Write a SQL query to remove duplicates.
3. You have a table with missing values. Write a SQL query to replace missing values with a default value.
4. You have a table with data in an incorrect format. Write a SQL query to correct the format.
5. You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1. Can you explain a time when you optimized a slow-running SQL query?
2. How do you handle database errors and exceptions?
3. Can you describe a complex SQL query you wrote and why?
4. How do you stay up-to-date with new SQL features and best practices?
5. Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL 👇
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
Basic SQL Questions
1. What is SQL, and what is its purpose?
2. Write a SQL query to retrieve all records from a table.
3. How do you select specific columns from a table?
4. What is the difference between WHERE and HAVING clauses?
5. How do you sort data in ascending/descending order?
SQL Query Questions
1. Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2. How do you join two tables based on a common column?
3. Write a SQL query to retrieve data from multiple tables using subqueries.
4. How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5. Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1. How do you optimize SQL query performance?
2. What is indexing, and how does it improve query performance?
3. How do you avoid full table scans?
4. What is query caching, and how does it work?
5. How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1. Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2. Write a SQL query to retrieve data from two tables using a subquery.
3. How do you use EXISTS and IN operators in SQL?
4. Write a SQL query to retrieve data from multiple tables using a self-join.
5. Explain the concept of correlated subqueries.
SQL Data Modeling
1. Explain the concept of normalization and denormalization.
2. How do you design a database schema for a given application?
3. What is data redundancy, and how do you avoid it?
4. Explain the concept of primary and foreign keys.
5. How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1. Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2. Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3. How do you use dynamic SQL?
4. Explain the concept of stored procedures and functions.
5. Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1. You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2. You have a table with duplicate records. Write a SQL query to remove duplicates.
3. You have a table with missing values. Write a SQL query to replace missing values with a default value.
4. You have a table with data in an incorrect format. Write a SQL query to correct the format.
5. You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1. Can you explain a time when you optimized a slow-running SQL query?
2. How do you handle database errors and exceptions?
3. Can you describe a complex SQL query you wrote and why?
4. How do you stay up-to-date with new SQL features and best practices?
5. Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL 👇
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
Remote Software Engineer Job at Zencore (Short Term Contract)
Apply Here:
https://kenyatrends.co.ke/iisk
Global Tech Jobs Here👇
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS🥳🥳
Apply Here:
https://kenyatrends.co.ke/iisk
Global Tech Jobs Here👇
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS🥳🥳
Learn SQL from basic to advanced level in 30 days
Week 1: SQL Basics
Day 1: Introduction to SQL and Relational Databases
Overview of SQL Syntax
Setting up a Database (MySQL, PostgreSQL, or SQL Server)
Day 2: Data Types (Numeric, String, Date, etc.)
Writing Basic SQL Queries:
SELECT, FROM
Day 3: WHERE Clause for Filtering Data
Using Logical Operators:
AND, OR, NOT
Day 4: Sorting Data: ORDER BY
Limiting Results: LIMIT and OFFSET
Understanding DISTINCT
Day 5: Aggregate Functions:
COUNT, SUM, AVG, MIN, MAX
Day 6: Grouping Data: GROUP BY and HAVING
Combining Filters with Aggregations
Day 7: Review Week 1 Topics with Hands-On Practice
Solve SQL Exercises on platforms like HackerRank, LeetCode, or W3Schools
Week 2: Intermediate SQL
Day 8: SQL JOINS:
INNER JOIN, LEFT JOIN
Day 9: SQL JOINS Continued: RIGHT JOIN, FULL OUTER JOIN, SELF JOIN
Day 10: Working with NULL Values
Using Conditional Logic with CASE Statements
Day 11: Subqueries: Simple Subqueries (Single-row and Multi-row)
Correlated Subqueries
Day 12: String Functions:
CONCAT, SUBSTRING, LENGTH, REPLACE
Day 13: Date and Time Functions: NOW, CURDATE, DATEDIFF, DATEADD
Day 14: Combining Results: UNION, UNION ALL, INTERSECT, EXCEPT
Review Week 2 Topics and Practice
Week 3: Advanced SQL
Day 15: Common Table Expressions (CTEs)
WITH Clauses and Recursive Queries
Day 16: Window Functions:
ROW_NUMBER, RANK, DENSE_RANK, NTILE
Day 17: More Window Functions:
LEAD, LAG, FIRST_VALUE, LAST_VALUE
Day 18: Creating and Managing Views
Temporary Tables and Table Variables
Day 19: Transactions and ACID Properties
Working with Indexes for Query Optimization
Day 20: Error Handling in SQL
Writing Dynamic SQL Queries
Day 21: Review Week 3 Topics with Complex Query Practice
Solve Intermediate to Advanced SQL Challenges
Week 4: Database Management and Advanced Applications
Day 22: Database Design and Normalization:
1NF, 2NF, 3NF
Day 23: Constraints in SQL:
PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
Day 24: Creating and Managing Indexes
Understanding Query Execution Plans
Day 25: Backup and Restore Strategies in SQL
Role-Based Permissions
Day 26: Pivoting and Unpivoting Data
Working with JSON and XML in SQL
Day 27: Writing Stored Procedures and Functions
Automating Processes with Triggers
Day 28: Integrating SQL with Other Tools (e.g., Python, Power BI, Tableau)
SQL in Big Data: Introduction to NoSQL
Day 29: Query Performance Tuning:
Tips and Tricks to Optimize SQL Queries
Day 30: Final Review of All Topics
Attempt SQL Projects or Case Studies (e.g., analyzing sales data, building a reporting dashboard)
Since SQL is one of the most essential skill for data analysts, I have decided to teach each topic daily in this channel for free. Like this post if you want me to continue this SQL series 👍♥️
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL interview questions: https://t.me/sqlresourcestp/94
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Hope it helps :)
Week 1: SQL Basics
Day 1: Introduction to SQL and Relational Databases
Overview of SQL Syntax
Setting up a Database (MySQL, PostgreSQL, or SQL Server)
Day 2: Data Types (Numeric, String, Date, etc.)
Writing Basic SQL Queries:
SELECT, FROM
Day 3: WHERE Clause for Filtering Data
Using Logical Operators:
AND, OR, NOT
Day 4: Sorting Data: ORDER BY
Limiting Results: LIMIT and OFFSET
Understanding DISTINCT
Day 5: Aggregate Functions:
COUNT, SUM, AVG, MIN, MAX
Day 6: Grouping Data: GROUP BY and HAVING
Combining Filters with Aggregations
Day 7: Review Week 1 Topics with Hands-On Practice
Solve SQL Exercises on platforms like HackerRank, LeetCode, or W3Schools
Week 2: Intermediate SQL
Day 8: SQL JOINS:
INNER JOIN, LEFT JOIN
Day 9: SQL JOINS Continued: RIGHT JOIN, FULL OUTER JOIN, SELF JOIN
Day 10: Working with NULL Values
Using Conditional Logic with CASE Statements
Day 11: Subqueries: Simple Subqueries (Single-row and Multi-row)
Correlated Subqueries
Day 12: String Functions:
CONCAT, SUBSTRING, LENGTH, REPLACE
Day 13: Date and Time Functions: NOW, CURDATE, DATEDIFF, DATEADD
Day 14: Combining Results: UNION, UNION ALL, INTERSECT, EXCEPT
Review Week 2 Topics and Practice
Week 3: Advanced SQL
Day 15: Common Table Expressions (CTEs)
WITH Clauses and Recursive Queries
Day 16: Window Functions:
ROW_NUMBER, RANK, DENSE_RANK, NTILE
Day 17: More Window Functions:
LEAD, LAG, FIRST_VALUE, LAST_VALUE
Day 18: Creating and Managing Views
Temporary Tables and Table Variables
Day 19: Transactions and ACID Properties
Working with Indexes for Query Optimization
Day 20: Error Handling in SQL
Writing Dynamic SQL Queries
Day 21: Review Week 3 Topics with Complex Query Practice
Solve Intermediate to Advanced SQL Challenges
Week 4: Database Management and Advanced Applications
Day 22: Database Design and Normalization:
1NF, 2NF, 3NF
Day 23: Constraints in SQL:
PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
Day 24: Creating and Managing Indexes
Understanding Query Execution Plans
Day 25: Backup and Restore Strategies in SQL
Role-Based Permissions
Day 26: Pivoting and Unpivoting Data
Working with JSON and XML in SQL
Day 27: Writing Stored Procedures and Functions
Automating Processes with Triggers
Day 28: Integrating SQL with Other Tools (e.g., Python, Power BI, Tableau)
SQL in Big Data: Introduction to NoSQL
Day 29: Query Performance Tuning:
Tips and Tricks to Optimize SQL Queries
Day 30: Final Review of All Topics
Attempt SQL Projects or Case Studies (e.g., analyzing sales data, building a reporting dashboard)
Since SQL is one of the most essential skill for data analysts, I have decided to teach each topic daily in this channel for free. Like this post if you want me to continue this SQL series 👍♥️
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL interview questions: https://t.me/sqlresourcestp/94
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Hope it helps :)
❤1
🔰Complete SQL Mastery by Mosh Hamedani🔰
🌎Size: 13.97 GB
Language: English
📥 Download Link
🔗 Or Buy Here
📢No Copyright Infringement Intended, All The Credits & Rights Reserved to the Respected Actual Owner. We don't own this content.
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https://t.me/zerotrusthackers
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WhatsApp Channel:
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
🌎Size: 13.97 GB
Language: English
📥 Download Link
🔗 Or Buy Here
📢No Copyright Infringement Intended, All The Credits & Rights Reserved to the Respected Actual Owner. We don't own this content.
❤️🔥🐲
Telegram Channel:
https://t.me/zerotrusthackers
❤️🔥🐲
WhatsApp Channel:
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
𝟲 𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀💻
- AI Prompt Engineering
- Python for Data Science
- SQL Relational Database
- Data Science Fundamentals
- Introduction to Cloud
- Machine Learning with Python
𝐋𝐢𝐧𝐤 👇:-
https://tinyurl.com/42nau8jx
Enroll For FREE & Get Certified🎓
- AI Prompt Engineering
- Python for Data Science
- SQL Relational Database
- Data Science Fundamentals
- Introduction to Cloud
- Machine Learning with Python
𝐋𝐢𝐧𝐤 👇:-
https://tinyurl.com/42nau8jx
Enroll For FREE & Get Certified🎓